Security Scan Report: dynamic-mermaid-cd43c1.netlify.app

Redirected to:
https://dynamic-mermaid-cd43c1.netlify.app/
Submitted: Aug 7, 2026, 3:45:06 PMCompleted: Aug 7, 2026, 3:46:17 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is dynamic-mermaid-cd43c1.netlify.app and was registered 8 years ago.

Submitted URL: http://dynamic-mermaid-cd43c1.netlify.app/

Effective URL:

https://dynamic-mermaid-cd43c1.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

High risk site impersonating Aruba Mail with a login form; likely credential phishing.

Risk Factors (4)
Brand impersonation of Aruba Mail
Credential collection form on unknown-age subdomain
Unranked / low-reputation domain
Google Safe Browsing social engineering alert
Domain age information unavailable

Details

Page Title

Sign in to Webmail - Aruba Mail

Scan Type

public

Domain Name Analysis

The domain 'dynamic-mermaid-cd43c1.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'dynamic-mermaid-cd43c1'. The core label 'netlify' covers 7 characters containing two vowels alongside five consonants. Word splitting yields three words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://dynamic-mermaid-cd43c1.netlify.app/

Page Load Overview

2.44s
Total Load Time
689 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:798 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service26% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
26%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
535.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
51--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1428412B1276368350923AAB6D5523F19ACC0EBF7C166C68EF2D260E55ECCF409F41668

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:IDdsi+rK6MeRi4oU68qRQD7ZO92pPDdsi+rK6MeRi4oU68qRQD7ZO92ppL:c6rKbeB68qiZVF6rKbeB68qiZVv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:375621:kQwxFCVAQQc4rkGgSErq0EIGLhAoFKEABAkABQoCIvIhACGEgAqbBubkFwQHgjsEKQOgANho3oIRYKzKBCUPcViDgJmGUIEF

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ff8f8f8b8bffffff
Perceptual Hash:b939c6c62dc2c23d
Difference Hash:ed3a381616b94410
Wavelet Hash:e18383830121ffff
Color Hash:#783a3f

Scan History

Scan history not available

Unable to load historical scan data